Modeli optimizacije izbora lokacije proizvodnih kapaciteta u funkciji lokalnog ekonomskog razvoja
Each day we make decisions, draw conclusions or resolve problems. The environment in which we make decisions is complex and dynamic and yet it influences the whole process as much as one's knowledge, experience, etc. In these situations, the decision making analysis stands out which provides a logic base for defining possible alternatives and the choice of an optimal option from the possible solutions. The decision making analysis helps the decision maker to choose the optimal option in line with his knowledge, reasoning, beliefs and preferences. When there are several criteria the decision making is ambiguous and one needs to find the optimal or the most efficient solution. The multi-criteria decision making can be multi-purposeful. In case the alternatives are explicitly defined and quantified we are dealing with the multi-attribute decision making. The criteria values for the analyzed alternatives can be qualitative and quantitative; therefore, the qualitative ones have to be quantified. Deciding on the location is one of the key elements of logistics and of the importance of the decision making process used by the companies in order to determine where to locate the facility is a decision of crucial importance to all logistic elements and the entire business development of the company. Further on, the contemporary economic, competitive and technological conditions and the business environment comprise a dynamic category, so the currently optimal location may not be optimal in the future. Companies use qualitative and quantitative criteria while deciding on the location of the factory. When deciding on the location of the factory one conducts a detailed analysis due to the dynamic business environment. Constant changes in the environment influence business adjustments. On the contrary, the logistic facilities and their locations are static and are not subject to alteration in a short period of time and in such a way respond to the business environment changes. While making such a decision one needs to use new methodologies and contemporary tools as a decision making support in order to adequately respond to the business environment changes and secure the high quality decision making by taking into account quantitative and qualitative criteria which are important for making a decision on a choice of a location. From the very beginning, local self-governments, worldwide as well as in Serbia, had different roles in the economic development. Local self-governments usually dealt with administrative procedures with no active part in the economic development. By establishing legal grounds local self-governments started improving the business environment and providing support to the business community, but also actively attracting foreign direct investments which have proven to be the key activity of the local economic development. Identification and understanding of the industrial location decision making process within the companies has been identified as a crutial activity which the local self-governments can use in improving the business environment and recruitment of direct investments. On the basis on the prioritization of the quantitative and qualitative decision making criteria in the process of selection a location, local self-governments can improve their business environment if resources are being used optimally and in such a way they support the local economic development by assisting the business community and attracting direct investments. In this paper we established a model which, using the method for decision making in the case of optimization of the industrial location decision making, enables efficient use of the resources of local economic development. The model will enable the identification of criteria / determinant of locations that should be invested in order to promote local economic development, on the basis of a comparison of local governments and types of potential investors. Use of standard methods of multiattribute analysis gives the possibility of a subjective approach to the researcher who must determine in advance the criteria weights, while the application of the model presented in this paper avoids the subjectivity and objectifies the process of preference, a combination of criteria DEA (Data Envelopment Analysis,) and multiattribute analysis methods (AHP, ELECTRE, PROMETHEE, TOPSIS). Within the dissertation, survey conducted, analysed local governments (alternatives) in terms of fulfilling the criteria (location determinants), within which each local government alone determines the criteria weight based on survey of types of potential investors. A comparative analysis of the results of these studies, where other various methods for decision making can be also used, identified the best method, among selected that are the best known and most used, and the result of the dissertation will determine the importance of the location determinants, which will enable to policymakers in field of local economic development, investment promotion and improving business environment at all levels, through the use of the proposed model of efficient planning, the opportunity to efficiently and cost-effectively use the resources at their disposal.